{"id":"https://openalex.org/W4392757538","doi":"https://doi.org/10.1108/itp-08-2021-0598","title":"Collaborative federated learning framework to minimize data transmission for AI-enabled video surveillance","display_name":"Collaborative federated learning framework to minimize data transmission for AI-enabled video surveillance","publication_year":2024,"publication_date":"2024-03-06","ids":{"openalex":"https://openalex.org/W4392757538","doi":"https://doi.org/10.1108/itp-08-2021-0598"},"language":"en","primary_location":{"id":"doi:10.1108/itp-08-2021-0598","is_oa":false,"landing_page_url":"https://doi.org/10.1108/itp-08-2021-0598","pdf_url":null,"source":{"id":"https://openalex.org/S185256354","display_name":"Information Technology and People","issn_l":"0959-3845","issn":["0959-3845","1758-5813"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Technology &amp; People","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://hdl.handle.net/10072/432294","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090649922","display_name":"Nehemia Sugianto","orcid":"https://orcid.org/0000-0001-7342-3045"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nehemia Sugianto","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7342-3045","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053074581","display_name":"Dian Tjondronegoro","orcid":"https://orcid.org/0000-0001-7446-2839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dian Tjondronegoro","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7446-2839","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009816090","display_name":"Golam Sorwar","orcid":"https://orcid.org/0000-0002-5294-1895"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Golam Sorwar","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5294-1895","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090649922"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68310547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6076831817626953},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4896150231361389},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4191575050354004},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.33968645334243774},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3286285400390625},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15844056010246277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6076831817626953},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4896150231361389},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4191575050354004},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.33968645334243774},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3286285400390625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15844056010246277}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1108/itp-08-2021-0598","is_oa":false,"landing_page_url":"https://doi.org/10.1108/itp-08-2021-0598","pdf_url":null,"source":{"id":"https://openalex.org/S185256354","display_name":"Information Technology and People","issn_l":"0959-3845","issn":["0959-3845","1758-5813"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Technology &amp; People","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/432294","is_oa":true,"landing_page_url":"https://hdl.handle.net/10072/432294","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/432294","is_oa":true,"landing_page_url":"https://hdl.handle.net/10072/432294","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1656792910","https://openalex.org/W2095705004","https://openalex.org/W2150515037","https://openalex.org/W2473930607","https://openalex.org/W2541884796","https://openalex.org/W2618002756","https://openalex.org/W2745497104","https://openalex.org/W2788388592","https://openalex.org/W2792513524","https://openalex.org/W2795016359","https://openalex.org/W2889978276","https://openalex.org/W2902332709","https://openalex.org/W2902390267","https://openalex.org/W2903073752","https://openalex.org/W2912213068","https://openalex.org/W2940669070","https://openalex.org/W2962884963","https://openalex.org/W2966722298","https://openalex.org/W3018464563","https://openalex.org/W3030364939","https://openalex.org/W3037995725","https://openalex.org/W3048281304","https://openalex.org/W3067862503","https://openalex.org/W3069398144","https://openalex.org/W3080411117","https://openalex.org/W3092595724","https://openalex.org/W3122081138","https://openalex.org/W3133814152","https://openalex.org/W3186952419","https://openalex.org/W3216903619","https://openalex.org/W4206411193","https://openalex.org/W4298326021","https://openalex.org/W4307111677"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Purpose":[0],"This":[1,28,138],"study":[2,29,51,139,190],"proposes":[3,52,175],"a":[4,53,93,176],"collaborative":[5],"federated":[6,74],"learning":[7,75,121],"(CFL)":[8],"framework":[9,55,70,104,178,202],"to":[10,56,77,92,144,179,195],"address":[11],"personal":[12,64,87,111],"data":[13,65,83,88,112,181],"transmission":[14,66,89,182],"and":[15,40,67,90,167,183],"retention":[16,91,184],"issues":[17],"for":[18,33,131,160,185],"artificial":[19],"intelligence":[20],"(AI)-enabled":[21],"video":[22,43,126,150,170,187],"surveillance":[23,44,127,151,171],"in":[24,37,134,152,164,203],"public":[25,38,135,153,165],"spaces.":[26,136,154],"Design/methodology/approach":[27],"examines":[30,157],"specific":[31,142,158],"challenges":[32,159],"long-term":[34,132,161],"people":[35,162],"monitoring":[36,163],"spaces":[39,166],"defines":[41,168],"AI-enabled":[42,125,149,169,186],"requirements.":[45,172],"Based":[46],"on":[47],"the":[48,101,108,115,146,197,200,204],"requirements,":[49],"this":[50],"CFL":[54,103,177],"gradually":[57],"adapt":[58],"AI":[59,116],"models\u2019":[60],"knowledge":[61],"while":[62,85],"reducing":[63],"retention.":[68],"The":[69,97,119,189],"uses":[71],"three":[72],"different":[73,81],"strategies":[76,122],"rapidly":[78],"learn":[79],"from":[80],"new":[82],"sources":[84],"minimizing":[86],"central":[94],"machine.":[95],"Findings":[96],"findings":[98],"confirm":[99],"that":[100,128],"proposed":[102,201],"can":[105],"help":[106,123],"minimize":[107,180],"use":[109],"of":[110,148,199,206],"without":[113],"compromising":[114],"model's":[117],"performance.":[118],"gradual":[120],"develop":[124],"continuously":[129],"adapts":[130],"deployment":[133],"Originality/value":[137],"makes":[140],"two":[141],"contributions":[143],"advance":[145],"development":[147],"First,":[155],"it":[156,174],"Second,":[173],"surveillance.":[188],"provides":[191],"comprehensive":[192],"experimental":[193],"results":[194],"evaluate":[196],"effectiveness":[198],"context":[205],"facial":[207],"expression":[208],"recognition":[209],"(FER)":[210],"which":[211],"involves":[212],"large-scale":[213],"datasets.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
